Deep Learning for Beginners: This Book Includes 2 Manuscripts: Deep Learning for Beginners AND Data Science from Scratch (初學者的深度學習：本書包含兩篇手稿：初學者的深度學習與從零開始的資料科學)

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Get 2 books in 1! This is the bundle of two successful books in the market!

Book 1: In "Machine Learning: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work" you will learn:

• The different types of learning algorithm that you can expect to encounter


• The numerous applications of machine learning


• The different types of machine learning and how they diffe


• The best practices for picking up machine learning


• What languages and libraries to work with


• The future of machine learning


• The various problems that you can solve with machine learning algorithms


• And much more...

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Book 2: In "Neural Networks: A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention" you will learn:

• The history of neural networks and the way modern neural networks work


• How deep learning REALLY works


• The different types of neural networks


• The ability to explain a neural network to others, while simultaneously being able to build on this knowledge without being COMPLETELY LOST


• How to build your own neural network


• An effective technique for hacking into a neural network


• Some introductory advice for modifying parameters in the code-based environment


• And much more...

These books provide proven concepts and strategies for people who want to know more about machine learning and neural networks. After reading this bundle you will be able to choose the right kind of architecture, how to build a system that can learn, how to train it, and then how to use it to accomplish your goals.

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